Many Power BI projects evolve through stages of prototypes, so they might create multiple PBIX files. Bad practice #1: Keep PBIX files on your local computer rather than shared storage Most, if not all of the examples in this and the posts that follow, are examples that my colleagues and I encounter when we go in the fix failed Power BI projects. This guide demonstrates common examples of how enterprise Power BI projects are bound to fail using self-taught undisciplined techniques to build larger, enterprise solutions. If it’s on the Internet it MUST be right! Munge all this data together and create dashboards to help the executives run the business! Welcome to the big leagues, folks! Just import data from all the corporate systems, desktop Excel files and whatever web feeds you can find. Since the first round of reports were so well received, the company bought licenses so everyone in the organization can use Power BI to run their business. It wasn’t all that hard to do, right? You’ve demonstrated your new Power BI design chops and now all the managers in the company want more cool charts and reports. #Snagit 12 failed to initialize datastore how to#So, you’ve taught yourself how to use Power BI! You’ve Googled some questions and let YouTube show you how to cobble together a little data from different places, wire-up a few tables and drag-and-drop fields to make some attractive visual reports. This article is written from the perspective of formal, larger-scale projects. Arguably, bad practices for enterprise-scale, multi-user report projects might be just peachy keen for small, informal desktop reports for one user with limited data. Keep in mind that the rules of “good” and “bad” design might be different for small, informal projects vs larger-scale, formal projects where longevity and scale are more important. What examples have you encountered of sure-fire ways to make projects go badly? I welcome your comments and thoughts about the worst practices you have seen in Power BI. In that light, the purpose of this article is to talk about what to do if you want things to go poorly and make sure your projects fail – if not immediately, then sometime in the future – and if not for you then for whoever inherits the work that you have done. It occurred to me that we have put so much effort into promoting best practices and proper design that there is far less information about how to create bad reports and data models.
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